Beginning Power BI for Business Users (eBook)

Learning to Turn Data into Insights

Paul D. Fuller (Autor)

eBook Download: PDF

2023 | 1. Auflage
288 Seiten
John Wiley & Sons (Verlag)
978-1-394-19031-7 (ISBN)

Infos

Discover the utility of your organization's data with Microsoft Power BI

In Beginning Power BI for Business Users: Learning to Turn Data into Insights, accomplished data professional and business intelligence expert Paul Fuller delivers an intuitive and accessible handbook for professionals seeking to use Microsoft's Power BI to access, analyze, understand, report, and act on the data available to their organizations. In the book, you'll discover Power BI's robust feature set, learn to ingest and model data, visualize and report on that data, and even use the DAX scripting language to unlock still more utility from Microsoft's popular program.

Beginning with general principles geared to readers with no or little experience with reporting or data analytics tools, the author walks you through how to manipulate common, publicly available data sources--including Excel files and relational databases. You'll also learn to:

* Use the included and tested sample code to work through the helpful examples included by the author

* Conduct data orchestration and visualization to better understand and gain insights from your data

An essential resource for business analysts and Excel power users reaching the limits of that program's capabilities, Beginning Power BI for Business Users will also benefit data analysts who seek to prepare reports for their organizations using Microsoft's flexible and intuitive software.

Autor

PAUL D. FULLER has over 25 years' experience in app development, business intelligence, and data warehousing. He offers technical leadership and delivery oversight for complex and challenging data platform projects. He is an expert in Power BI, dimensional data modeling, and data warehousing.

Produkt-Details

• Erscheint lt. Verlag: 20.9.2023
• Reihe/Serie: Tech Today
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Schlagworte: Computer Science • Data Analysis • Data Mining & Knowledge Discovery • Data Mining u. Knowledge Discovery • Datenanalyse • Informatik • Power BI • Statistics • Statistik
• ISBN-10: 1-394-19031-X / 139419031X
• ISBN-13: 978-1-394-19031-7 / 9781394190317